| Unseen object instance segmentation for robotic environments C Xie, Y Xiang, A Mousavian, D Fox IEEE Transactions on Robotics 37 (5), 1343-1359, 2021 | 155 | 2021 |
| Fig-nerf: Figure-ground neural radiance fields for 3d object category modelling C Xie, K Park, R Martin-Brualla, M Brown 2021 International Conference on 3D Vision (3DV), 962-971, 2021 | 146 | 2021 |
| Learning rgb-d feature embeddings for unseen object instance segmentation Y Xiang, C Xie, A Mousavian, D Fox Conference on Robot Learning, 461-470, 2020 | 135 | 2020 |
| The best of both modes: Separately leveraging rgb and depth for unseen object instance segmentation C Xie, Y Xiang, A Mousavian, D Fox Conference on robot learning, 1369-1378, 2019 | 109 | 2019 |
| Object discovery in videos as foreground motion clustering C Xie, Y Xiang, Z Harchaoui, D Fox Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 72 | 2019 |
| Toward asymptotically optimal motion planning for kinodynamic systems using a two-point boundary value problem solver C Xie, J Van Den Berg, S Patil, P Abbeel 2015 IEEE International Conference on Robotics and Automation (ICRA), 4187-4194, 2015 | 69 | 2015 |
| Model-based reinforcement learning with parametrized physical models and optimism-driven exploration C Xie, S Patil, T Moldovan, S Levine, P Abbeel 2016 IEEE international conference on robotics and automation (ICRA), 504-511, 2016 | 56 | 2016 |
| Predicting stable configurations for semantic placement of novel objects C Paxton, C Xie, T Hermans, D Fox Conference on Robot Learning, 806-815, 2021 | 51 | 2021 |
| Amodal 3d reconstruction for robotic manipulation via stability and connectivity W Agnew, C Xie, A Walsman, O Murad, Y Wang, P Domingos, S Srinivasa Conference on Robot Learning, 1498-1508, 2020 | 26 | 2020 |
| Rice: Refining instance masks in cluttered environments with graph neural networks C Xie, A Mousavian, Y Xiang, D Fox Conference on Robot Learning, 1655-1665, 2021 | 22 | 2021 |
| Scenescript: Reconstructing scenes with an autoregressive structured language model A Avetisyan, C Xie, H Howard-Jenkins, TY Yang, S Aroudj, S Patra, ... European Conference on Computer Vision, 247-263, 2024 | 18 | 2024 |
| NonSTOP: A NonSTationary Online Prediction Method for Time Series C Xie, A Bijral, JL Ferres arXiv preprint arXiv:1611.02365, 2017 | 17 | 2017 |
| A unified framework for long range and cold start forecasting of seasonal profiles in time series C Xie, A Tank, A Greaves-Tunnell, E Fox arXiv preprint arXiv:1710.08473, 2017 | 10 | 2017 |
| A unified framework for missing data and cold start prediction for time series data C Xie, A Talk, E Fox Advances in neural information processing systems Time Series Workshop, 2016 | 6 | 2016 |
| ReplaceAnything3D: Text-Guided Object Replacement in 3D Scenes with Compositional Scene Representations E Bartrum, T Nguyen-Phuoc, C Xie, Z Li, N Khan, A Avetisyan, D Lanman, ... The Thirty-eighth Annual Conference on Neural Information Processing Systems, 0 | 3* | |
| Figure-ground neural radiance fields for three-dimensional object category modelling MA Brown, R Martin-Brualla, K Park, CD Xie US Patent 12,026,892, 2024 | 2 | 2024 |
| Figure-ground neural radiance fields for three-dimensional object category modelling MA Brown, R Martin-Brualla, K Park, CD Xie US Patent App. 18/669,733, 2024 | | 2024 |
| Discovering and Segmenting Unseen Objects for Robot Perception C Xie University of Washington, 2021 | | 2021 |
| A Simple Adaptive Tracker with Reminiscences C Xie, E Fox, Z Harchaoui 2019 IEEE international conference on robotics and automation (ICRA), 2019 | | 2019 |
| Supplementary Materials for: RICE: Refining Instance Masks in Cluttered Environments with Graph Neural Networks C Xie, A Mousavian, Y Xiang, D Fox | | |
Dieter FoxUniversity of Washington and NVIDIAVerified email at cs.washington.edu
